nasa / SALaDLinks
SALaD (Semi-Automatic Landslide Detection) is a landslide mapping system. SALaD utilizes Object-based Image Analysis and Random Forest to map landslides. It requires optical imagery, a DEM, corner coordinates of a training area, and manually mapped landslides within the training area. The code is built to run primarily on a Linux.
☆35Updated 4 years ago
Alternatives and similar repositories for SALaD
Users that are interested in SALaD are comparing it to the libraries listed below
Sorting:
- ☆60Updated last year
- Remote sensing and spatial analysis tools for Google Earth Engine☆27Updated 3 years ago
- How to find, access, and work with ECOSTRESS (ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station) Data.☆41Updated 4 months ago
- Here are the codes for the "Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data" paper.☆16Updated 3 years ago
- This repository provides guides, short how-tos, and tutorials to help users access and work with Harmonized Landsat Sentinel-2 (HLS) data…☆125Updated 8 months ago
- ML Flood Finder Package from Sentinel 1 (SAR) Imagery☆34Updated last year
- This is the MULTIPLY repository containing the functionality for SAR pre processing.☆34Updated last year
- Annual and in-season crop mapping in Kenya☆25Updated 4 years ago
- ☆46Updated 4 years ago
- Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.☆42Updated last year
- This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Global Ecosystem Dynamics …☆98Updated 7 months ago
- This Keras code is for the paper Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery☆☆21Updated 2 years ago
- Create time-series datacubes for supervised machine learning with ICEYE SAR images.☆84Updated 4 years ago
- A CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index …☆49Updated last year
- InSAR (Interferometric Synthetic Aperture Radar) timeseries analysis in python☆49Updated 6 years ago
- Sentinel 1 pipeline using SNAP GPT 7.0☆39Updated 3 years ago
- a deep model that segments water on multispectral images☆156Updated 2 years ago
- Python 3.X scripts for remote sensing processing☆44Updated 2 years ago
- A Python package for Remote Sensing Data Analysis☆126Updated last year
- This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust…☆181Updated 5 months ago
- GeoPatch is a package for generating patches from remote sensing data☆55Updated 6 months ago
- Python: Work with hyperspectral imagery from AVIRIS-NG collected during ABoVE airborne campaigns☆37Updated 5 years ago
- By using the pre-trained models, this method enables quick and simple mapping of landslides at various spatiotemporal scales. The method …☆21Updated 2 years ago
- CloudS2Mask is a Sentinel 2 L1C cloud and cloud shadow masking library☆31Updated last year
- A QGIS plugin to generate polarimetric SAR descriptors.☆40Updated 3 months ago
- Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://t…☆49Updated 4 years ago
- Repository containing code used to produce computer vision models that can identify infrastructure in publicly available satellite imager…☆24Updated 2 weeks ago
- Radiometric Slope Correction of Sentinel-1 data on Google Earth Engine☆57Updated 5 years ago
- ☆58Updated 2 years ago
- Deep Learning algorithms applied to characterization of Remote Sensing time-series☆34Updated 6 years ago